Engaging on Innovation: Highlights from 2025 Spring Conferences
The Federal Reserve engaged on innovations and trends that are transforming the payments industry this spring.
The Federal Reserve engaged on innovations and trends that are transforming the payments industry this spring.
Individuals can be deceived or manipulated with fraudulent check deposits. Learn how these schemes work and how to detect check scams using the ScamClassifier(SM) and FraudClassifier(SM) models.
Learn how fraudsters target unsuspecting victims through relationship and trust scams to carry out check fraud – and how the ScamClassifier(SM) model can be leveraged for more robust prevention and customer education.
Representatives from across the Federal Reserve will be in New Orleans April 27-30 for the annual Nacha Smarter Faster Payments conference. Explore the many opportunities to connect on timely and innovative payments topics.
Fraudsters often leverage fraudulent paper checks to help perpetrate scams. Learn how the ScamClassifier(SM) model can assist in identifying the root cause of the fraud that occurred due to a scam.
Federal Reserve Financial Services frequently attends industry conferences to engage with the ecosystem on advancing the speed, security and efficiency of payments. Read highlights from key events this fall.
The Federal Reserve’s video tutorial explains the connection points between the FraudClassifier(SM) and ScamClassifier(SM) models and how to use them together to analyze incidents.
Federal Reserve Financial Services is preparing to engage with the payments industry at upcoming fall conferences and events. Learn more about opportunities to connect on timely and innovative payments topics.
A new recommendations report encourages the industry to consider creating a solution or establishing an independent information exchange framework for a holistic view of scam intelligence from existing sources across payment rails.
A Federal Reserve-led industry work group developed the ScamClassifier(SM) model, a voluntary scam classification structure to categorize different scam types more consistently.